Understanding C/C Build system by building a simple project - Part 1

C/C++ is the mother of many popular programming languages out there today, all the fancy programming...

A Business Practical Guide on Churn Analysis

The right way of being practical, theoretical and technical when analyzing churn

Understanding Transformers, the Data Science Way

Read this accessible and conversational article about understanding transformers, the data science way — by asking a lot of questions that is.

Autoencoders: Overview of Research and Applications

Which kinds of autoencoders exist and what are their applications?

Kubeflow is More Accessible than Ever, with MiniKF

Get started with the best Machine Learning platform for Kubernetes in 10 minutes.

Anomaly Detection using Benford’s Law

Locating fraudulent transactions with simple theory.

Pandas on the Cloud with Dask

Scaling your Pythonic data science and machine learning to the cloud using Dask. All from the comfort of your own laptop.

A Complete Guide to CSS Media Queries

CSS Media queries are a way to target browser by certain characteristics, features, and user preferences, then apply styles based on those things.

3 Natural Language Processing Tools From AWS to Python

Photo by Eric Krull on Unsplash. Parsing and processing documents can provide a lot of value for alm...

Choropleth Maps — 101 using Plotly

I have been working as a Data Analyst for almost 5 years now but, in this time I have mostly used business intelligence software for all…

What are Differential Equations and how do they work?

Science News, Physics, Science, Philosophy, Philosophy of Science

Nicholas Spice · How to play the piano

Lagrange Multiplier Demystified

Understanding why it works

Your Brain Chooses What to Let You See

Beneath our awareness, the brain lets certain kinds of stimuli automatically capture our attention by lowering the priority of the rest.

Advanced Ensemble Learning Techniques

Ensemble is an art and science

Machine learning for anomaly detection: Elliptic Envelope

Bite-sized data science

Master TypeScript In 50 Short Lessons — Smashing Magazine

Meet our new book, “TypeScript in 50 Lessons”, a deep-dive to understand what TypeScript is, how it works, and how you can make it work for you. With code walkthroughs, hands-on examples and common gotchas. 464 pages. Jump to table of contents and get the book right away.

An AI can simulate an economy millions of times to create fairer tax policy

Deep reinforcement learning has trained AIs to beat humans at complex games like Go and StarCraft. Could it also do a better job at running the economy?

How to peek inside a black box model — Understand Partial Dependence Plots

In this post, we will be learning a tool to reveal the working mechanism of a black box model. But before we start, let talk about…

To Succeed in a Negotiation, Help Your Counterpart Save Face

Three very different case studies — involving hostages in Afghanistan, a suicidal man in Calgary, and a tug-of-war between Brazilian and French businessmen — point to the importance of face, or reputation, in negotiations. To help you and your negotiating partners succeed, it is…

The Hundred-Page Machine Learning Book by Andriy Burkov

This is companion wiki of The Hundred-Page Machine Learning Book by Andriy Burkov. The book that aims at teaching machine learning in a concise yet systematic manner.

Why Does No One Use Advanced Hyperparameter Tuning? | by Liam Li | Oct, 202

Takeaways from our experience building state-of-the-art hyperparameter tuning in Determined AI’s integrated deep learning training…

Tutorial: Uncertainty estimation with CatBoost

Understanding why your model is uncertain and how to estimate the level of uncertainty

Speeding up Rails with Memoization - Honeybadger Developer Blog

Whoever first said that "the fastest code is no code" must have really liked memoization. After all, memoization speeds up your application by running less code. In this article, Jonathan Miles introduces us to memoiz...

Elegant Geographic plots in Python and R using GeoPandas and Leaflet | by K

How to use GeoPandas and Leaflet?

Python 3.9 New Features & How to Use Them

Python 3.9 New Feature Guide

Add External Data to Your Pandas Dataframe with a One-Liner

Inside the strange new world of being a deepfake actor | MIT Technology Rev

There’s an art to being a performer whose face will never be seen.

This Person Does Not Exist

What’s WAT? An Overview Of WAT/PCM Data?

More about the data that the fab makes available to the fabless customer when the wafer is ready to ship.

PySDR: A Guide to SDR and DSP Using Python

Inside the custom package: Creating a professional unboxing experience

The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel 2020

The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel 2020 was awarded jointly to Paul R. Milgrom and Robert B. Wilson "for improvements to auction theory and inventions of new auction formats"

How to cluster images based on visual similarity

Use a pre-trained neural network for feature extraction and cluster images using K-means.

100 Shielding Tips and Tricks

The principle of shielding is creating a conductive layer completely surrounding the object you want to shield. This was invented by Michael Faraday and this system is known as a Faraday cage.

LDM: My Favorite ARM Instruction

While CPUs and GPUs Work Harder in Data Centers, DPUs Work Smarter

As next-gen data centers amp up processing and speed, they're going to need processing units that can handle the heft of AI and machine learning.

Novel object captioning surpasses human performance on benchmarks

Visual vocabulary advances novel object captioning by breaking free of paired sentence-image training data in vision and language pretraining. Discover how this method helps set new state of the art on the nocaps benchmark and bests CIDEr scores of humans.

Bandit Algorithms

Multi-Armed Bandits: Part 3

A round-up of topology-based papers at ICML 2020

5 Articles to Understand Generative Adversarial Networks

Get up to date on one of the most promising Deep Learning technologies there is right now

DASK: A Guide to Process Large Datasets using Parallelization

A simple solution for data analytics for big data parallelizing computation in Numpy, Pandas, and Scikit-Learn Frameworks.

Multinomial Mixture Model for Supermarket Shoppers Segmentation (A complete

Complete analysis and implementation of a multinomial mixture model for supermarket shopper segmentation and predictive profiles prediction

Hacked Billboards can Make Teslas See 'Phantom Objects' and Cause Havoc

Tesla's Autopilot system relies on vision rather than LIDAR, which means it can be tricked by messages on billboards and projections created by hackers.

Histogram Matching

How to generate a histogram for an image, how to equalize the histogram, and finally how to modify your image histogram to be similar to…

Hidden Markov Model (HMM) — simple explanation in high level

HMM is very powerful statistical modeling tool used in speech recognition, handwriting recognition and etc. I wanted to use them, but when…

PyTorch vs. TensorFlow – a detailed comparison

Delve into the comprehensive comparison of PyTorch and TensorFlow, two leading machine learning frameworks. This article covers vital differences in ease of use, graph definition, and deployment capabilities, including insights on transitioning from PyTorch to TensorFlow Lite.

Instacart Users Segmentation and Market Basket Analysis

Xin Yu, Yingyuan (Valerie) Zhang, Yutong (Grace) Zhu

An intuitive guide to PCA

Ideas behind Principal Component Analysis

Silhouette Method — Better than Elbow Method to find Optimal Clusters

Deep dive analysis of Silhouette Method to find optimal clusters in k-Means clustering